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@@ -73,6 +73,7 @@ AstroLLaMA-2-70B-Base_AIC demonstrates notable improvements over its baseline LL
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  | Model | Score (%) |
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  |-------|-----------|
 
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  | **<span style="color:green">AstroLLaMA-2-70B-Base (AstroMLab)</span>** | **<span style="color:green">76.0</span>** |
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  | LLaMA-3.1-8B | 73.7 |
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  | LLaMA-2-70B | 70.7 |
@@ -95,5 +96,20 @@ While this model is designed for scientific use, users should be mindful of pote
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  If you use this model in your research, please cite:
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  ```
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- [Citation for Pan et al. 2024 to be added]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  | Model | Score (%) |
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  |-------|-----------|
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+ | **AstroSage-LLaMA-3.1-8B (AstroMLab)** | **80.9** |
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  | **<span style="color:green">AstroLLaMA-2-70B-Base (AstroMLab)</span>** | **<span style="color:green">76.0</span>** |
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  | LLaMA-3.1-8B | 73.7 |
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  | LLaMA-2-70B | 70.7 |
 
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  If you use this model in your research, please cite:
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  ```
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+ @ARTICLE{2024arXiv240919750P,
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+ author = {{Pan}, Rui and {Dung Nguyen}, Tuan and {Arora}, Hardik and {Accomazzi}, Alberto and {Ghosal}, Tirthankar and {Ting}, Yuan-Sen},
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+ title = "{AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy}",
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+ journal = {arXiv e-prints},
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+ keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Computation and Language},
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+ year = 2024,
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+ month = sep,
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+ eid = {arXiv:2409.19750},
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+ pages = {arXiv:2409.19750},
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+ doi = {10.48550/arXiv.2409.19750},
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+ archivePrefix = {arXiv},
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+ eprint = {2409.19750},
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+ primaryClass = {astro-ph.IM},
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+ adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv240919750P},
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+ adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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+ }
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  ```